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Intelligence in Our Image Risks of Bias and Errors in Artificial Intelligence

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Intelligence in Our Image Risks of Bias and Errors in Artificial Intelligence ( intelligence-our-image-risks-bias-and-errors-artificial-inte )

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Preface Algorithms and artificial intelligence agents (or, jointly, artificial agents) influence many aspects of life: the news articles read, access to credit, and capital investment, among others. Because of their efficiency and speed, algorithms make decisions and take actions on the behalf of humans in these and many other domains. Despite these gains, there are concerns about the rapid automation of jobs (even cognitive jobs, such as journalism and radiology). This trend shows no signs of abating. As reliance on artificial agents continues to grow, what are the consequences and risk of such dependence? A better understanding of attitudes toward and interactions with algorithms is essential pre- cisely because of the aura of objectivity and infallibility today’s culture ascribes to algorithms. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the prob- lem of algorithmic errors and bias (e.g., data diet, algorithmic disparate impact), and examines some approaches for combating these problems. This report should be of interest to decisionmakers and imple- menters looking for a better understanding of how artificial intelligence deployment can affect their stakeholders. This affects such domains as criminal justice, public works, and welfare administration. RAND Ventures The RAND Corporation is a research organization that develops solu- tions to public policy challenges to help make communities throughout iii

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